This is avery small model, so it might not perform well for some prompts and may be sensitive to hyper parameters. I would appreciate any feedback to see if I can fix any issues in the next iteration. ❤️
MaziyarPanahi/calme-3.1-llamaloi-3b
This model is an advanced iteration of the powerful
meta-llama/Llama-3.2-3B
, specifically fine-tuned to enhance its capabilities in French Legal domain.
# Use a pipeline as a high-level helperfrom transformers import pipeline
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="MaziyarPanahi/calme-3.1-llamaloi-3b")
pipe(messages)
# Load model directlyfrom transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-3.1-llamaloi-3b")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.1-llamaloi-3b")
Ethical Considerations
As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
Runs of MaziyarPanahi calme-3.1-llamaloi-3b on huggingface.co
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